Efficient Reactive Power Control Using Reinforcement Learning under Inaccurate Power Network Model

This paper utilizes distributed multi-agent reinforcement learning (MARL) based optimization technique to arrive at the efficient reactive power control (ERPC) in electric power systems by considering the inaccurate power network. Every agent will incorporate with the adjacent agent only if it is electrically combined for data sharing utilizing global information sharing by using the consensus-bas...